class_docstr: Gathers and serializes an object graph.
class_docstr_tok: ["Gathers","and","serializes","an","object","graph","."]
docstr: Returns list of dependencies that should be saved in the checkpoint.
  
  These dependencies are not tracked by root, but are in the checkpoint.
  This is defined when the user creates a Checkpoint with both root and kwargs
  set.
  
  Returns:
    A list of TrackableReferences.
docstr_tok: ["Returns","list","of","dependencies","that","should","be","saved","in","the","checkpoint",".","These","dependencies","are","not","tracked","by","root",",","but","are","in","the","checkpoint",".","This","is","defined","when","the","user","creates","a","Checkpoint","with","both","root","and","kwargs","set",".","Returns",":","A","list","of","TrackableReferences","."]
code: def attached_dependencies(self):
      """Returns list of dependencies that should be saved in the checkpoint.
  
      These dependencies are not tracked by root, but are in the checkpoint.
      This is defined when the user creates a Checkpoint with both root and kwargs
      set.
  
      Returns:
        A list of TrackableReferences.
      """
      return self._attached_dependencies
  
file_path: tensorflow/tensorflow/python/checkpoint/graph_view.py
imports: import copy
  import weakref
  from tensorflow.python.checkpoint import save_util_v1
  from tensorflow.python.checkpoint import trackable_view
  from tensorflow.python.trackable import base
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 5 for calling the ObjectGraphView obj's underlying member method code with example usage: obj.attached_dependencies() and returns: self